Tag Archives: Multi-modal analytics

EXP: Linking Eye Movements with Visual Attention to Enhance Cyberlearning

8/15/16-7/31/18 PIs: Daniel Levin, Adriane Seiffert, Gautam Biswas Vanderbilt University Award Details Although hardware and software solutions are rapidly advancing the ability to detect and track cyberlearners’ eye movements, the scientific understanding of the link between these eye movements and actual learning remains tentative. This issue is particularly important because research demonstrates surprising limits to […]

EXP: Collaborative Research: Extracting Salient Scenarios from Interaction Logs (ESSIL)

9/1/16-8/31/18 PIs: Andee Rubin, TERC Inc (Award Details) Barbara Grosz, Harvard University (Award Details) Leilah Lyons, New York Hall of Science (Award Details) The Extracting Salient Scenarios from Interaction Logs (ESSIL) project proposes to develop a new type of educational technology to support students’ learning about complex systems from their participation in a multi-person immersive […]